Lab Objectives

1. Configure Python development environment including Python interpreter and PyCharm IDE
2. Practice program execution and debugging techniques
3. Implement a number guessing game to exercise variable usage, data types, string handling, object concepts, indentation, and commenting
4. Learn Git version control fundamentals

Implementation Details

Environment Configuration

Successfully installed Python interpreter and configured PyCharm Integrated Development Environment for code development and testing.

Debugging Practice

Executed sample programs from course materials and performed debugging analysis to understand program flow and error identification.

Number Guessing Game Impelmentation

Developed an interactive number guessing game with the following functionality:

import random

print("""
********************************************************************************
Welcome to Number Guesser
Single player game - enjoy the experience
********************************************************************************
""")

upper_limit = int(input("Enter difficulty level (1 to X): "))
target_number = random.randint(1, upper_limit)
guess = int(input("Enter your first guess: "))

while guess != target_number:
    if guess < target_number:
        print("Too low! Try again.")
    else:
        print("Too high! Try again.")
    guess = int(input("Enter another number: "))

print("Correct! You found the number.")

Version Control Integration

Learned bassic Git operations for code management and repository synchronization.

Challenges and Solutions

Issue 1: Repository push failures to remote server Resolution: Consulted instructor for authentication configuration guidance

Issue 2: Syntax errors due to unfamiliarity with Python syntax Resolution: Practiced additional coding exercises to improve proficiency

Issue 3: Debugging workflow uncertainty Resolution: Researched debugging tools and techniques through documentation

Key Ensights

1. Accurate credential management is essential for remote repository access and version history tracking
2. Cross-language comparison helps identify Python-specific patterns and conventions
3. Collaborative learning through peer and instructor consultation accelerates problem resolution

References

No external references used